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Bayesian module identification from multiple noisy networks
BACKGROUND AND MOTIVATIONS: Module identification has been studied extensively in order to gain deeper understanding of complex systems, such as social networks as well as biological networks. Modules are often defined as groups of vertices in these networks that are topologically cohesive with simi...
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| Publié dans: | EURASIP J Bioinform Syst Biol |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer International Publishing
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4744266/ https://ncbi.nlm.nih.gov/pubmed/26893596 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13637-016-0038-9 |
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